Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science

2020 ◽

pp. 315-326

Author(s):

Dong Guo ◽

Lu Wang ◽

Tao Song ◽

Guotai Wang

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Convolutional Neural Network ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Global Context

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Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_29 ◽

2020 ◽

pp. 304-314

Author(s):

Xue Feng ◽

Quan Dou ◽

Nicholas Tustison ◽

Craig Meyer

Keyword(s):

Overall Survival ◽

Brain Tumor ◽

Uncertainty Estimation ◽

Tumor Segmentation ◽

Survival Prediction ◽

Brain Tumor Segmentation ◽

Overall Survival Prediction

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Brain Tumour Segmentation on MRI Images by Voxel Classification Using Neural Networks, and Patient Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_27 ◽

2020 ◽

pp. 284-294

Author(s):

Subin Sahayam ◽

Nanda H. Krishna ◽

Umarani Jayaraman

Keyword(s):

Neural Networks ◽

Brain Tumour ◽

Patient Survival ◽

Survival Prediction ◽

Tumour Segmentation ◽

Brain Tumour Segmentation ◽

Voxel Classification

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A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_24 ◽

2020 ◽

pp. 254-261

Author(s):

Florian Kofler ◽

Johannes C. Paetzold ◽

Ivan Ezhov ◽

Suprosanna Shit ◽

Daniel Krahulec ◽

...

Keyword(s):

Survival Time ◽

Statistical Models ◽

Patient Survival ◽

Image Information ◽

Glioblastoma Patient ◽

Patient Survival Time

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TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_2 ◽

2020 ◽

pp. 13-22

Author(s):

Miguel Monteiro ◽

Konstantinos Kamnitsas ◽

Enzo Ferrante ◽

Francois Mathieu ◽

Steven McDonagh ◽

...

Keyword(s):

Data Augmentation ◽

Lesion Segmentation ◽

Head Ct

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Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_11 ◽

2020 ◽

pp. 108-118

Author(s):

Joshua Durso-Finley ◽

Douglas L. Arnold ◽

Tal Arbel

Keyword(s):

Neural Network ◽

Multiple Sclerosis ◽

Deep Neural Network ◽

Brain Mri ◽

Automatic Detection

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Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_36 ◽

2020 ◽

pp. 379-387

Author(s):

Richard McKinley ◽

Michael Rebsamen ◽

Raphael Meier ◽

Roland Wiest

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

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Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_6 ◽

2020 ◽

pp. 57-68

Author(s):

Siddhesh P. Thakur ◽

Jimit Doshi ◽

Sarthak Pati ◽

Sung Min Ha ◽

Chiharu Sako ◽

...

Keyword(s):

Deep Learning ◽

Skull Stripping ◽

Mri Scans

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Bag of Tricks for 3D MRI Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_20 ◽

2020 ◽

pp. 210-220 ◽

Cited By ~ 1

Author(s):

Yuan-Xing Zhao ◽

Yan-Ming Zhang ◽

Cheng-Lin Liu

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

3D Mri ◽

Brain Tumor Segmentation ◽

Mri Brain

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Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46640-4_7 ◽

2020 ◽

pp. 69-79

Author(s):

Christian Lucas ◽

Linda F. Aulmann ◽

André Kemmling ◽

Amir Madany Mamlouk ◽

Mattias P. Heinrich

Keyword(s):

Ischaemic Stroke

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Cascaded Global Context Convolutional Neural Network for Brain Tumor Segmentation

Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival Prediction

Brain Tumour Segmentation on MRI Images by Voxel Classification Using Neural Networks, and Patient Survival Prediction

A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation

Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI

Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Bag of Tricks for 3D MRI Brain Tumor Segmentation

Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Cascaded Global Context Convolutional Neural Network for Brain Tumor Segmentation

Brain Tumor Segmentation with Uncertainty Estimation and Overall Survival Prediction

Brain Tumour Segmentation on MRI Images by Voxel Classification Using Neural Networks, and Patient Survival Prediction

A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation

Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI

Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Bag of Tricks for 3D MRI Brain Tumor Segmentation

Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science
Latest Publications